65 search results - page 1 / 13 » Distributed Data Mining vs. Sampling Techniques: A Compariso... |
AI
2004
Springer
13 years 10 months ago
2004
Springer
To address the of mining a huge volume of geographically distributed databases, we propose two approaches. The first one is to download only a sample of each database. The second ...
VLDB
2005
ACM
13 years 10 months ago
2005
ACM
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
ICAI
2004
13 years 6 months ago
2004
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
The class imbalance is a critical problem in classification tasks related to many real world applications. A large number of solutions were proposed in literature, both at the al...